AI/ML Engineer - Generative AI Pipelines (Hybrid, Sydney)

REA Group Ltd.; Australia; Hybrid; AUD 120,000 - 160,000; Full time

Benefits offered by this job

Hybrid work model

Flexible leave options

Birthday leave

Parental leave

Hackdays

Job summary

REA Group Ltd. is hiring for a data-focused role in Sydney within the PropTrack data science & analytics team. Design, code, test and deploy ML pipelines and AI products using Python, SQL, and cloud services to support internal and customer-facing analytics.

The role emphasizes experimentation, collaboration, and learning in a high-performance culture, with hybrid work options and opportunities to innovate across property insights and predictive analytics.

Qualifications

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or a similar field.
• Strong coding skills in SQL, Python, and at least one data-science language.
• Experience with ML lifecycle and model deployment processes.

Responsibilities

• Design, code, test, and deploy ML pipelines using Python, SQL, IaC, AWS, and GCP.
• Build AI products with Generative AI, LLMs, and traditional ML techniques.
• Prototype and spike PoCs to explore new ideas with senior engineers.
• Support data processes with ad-hoc analysis, dashboards, and self-service reporting.
• Analyze data coverage and quality across datasets for multiple teams.
• Follow agile practices including TDD, CI/CD and pair programming.
• Share responsibility for run-and-operate of the software we build.

Skills

SQL

Python

R

C#

Generative AI

Time Series

ML Lifecycle

ML Libraries

Data Analysis

Cloud Platforms

Stakeholder Communication

Education

Bachelor's in Computer Science / Maths / Statistics

Tools

XGBoost

LightGBM

Scikit-learn

PyTorch

Keras

HF models

Transformers

FastAPI

Flask

Job description

REA Group Ltd. is hiring for a data-focused role in Sydney within the PropTrack data science & analytics team. Design, code, test and deploy ML pipelines and AI products using Python, SQL, and cloud services to support internal and customer-facing analytics.

The role emphasizes experimentation, collaboration, and learning in a high-performance culture, with hybrid work options and opportunities to innovate across property insights and predictive analytics.